Proceedings ArticleDOI
Here's What I Can Do: Chatbots' Strategies to Convey Their Features to Users
Francisco A. M. Valério,Tatiane G. Guimarães,Raquel Oliveira Prates,Heloisa Candello +3 more
- pp 28
TLDR
This paper identifies and discusses the different strategies used by the analyzed chatbots to present their features to users and uses the Semiotic Inspection Method to perform this analysis.Abstract:
Chatbots have been around since the 1960's, but recently they have risen in popularity especially due to new compatibility with social networks and messenger applications. Chatbots are different from traditional user interfaces, for they unveil themselves to the user one sentence at a time. Because of that, users may struggle to interact with them and to understand what they can do. Hence, it is important to support designers in deciding how to convey chatbots' features to users, as this might determine whether the user continues to chat or not. As a first step in this direction, in this paper our goal is to analyze the communicative strategies that have been used by popular chatbots to convey their features to users. To perform this analysis we use the Semiotic Inspection Method (SIM). As a result we identify and discuss the different strategies used by the analyzed chatbots to present their features to users. We also discuss the challenges and limitations of using SIM on such interfaces.read more
Citations
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Journal ArticleDOI
How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design
TL;DR: It is argued that chatbots should be enriched with social characteristics that cohere with users’ expectations, ultimately avoiding frustration and dissatisfaction.
Journal ArticleDOI
How should my chatbot interact? A survey on human-chatbot interaction design.
TL;DR: In this paper, the authors argue that chatbots should be enriched with social characteristics that cohere with users' expectations, ultimately avoiding frustration and dissatisfaction, and bring together the literature on text-based chatbots to derive a conceptual model of social characteristics for chatbots.
Journal ArticleDOI
The Power of Bots: Characterizing and Understanding Bots in OSS Projects
Mairieli Wessel,Bruno Mendes de Souza,Igor Steinmacher,Igor Wiese,Ivanilton Polato,Ana Paula Chaves,Marco Aurélio Gerosa +6 more
TL;DR: Although integrators reported that bots are useful for maintenance tasks, there was not a consistent, statistically significant difference between before and after bot adoption across the analyzed projects in terms of number of comments, commits, changed files, and time to close pull requests.
Proceedings ArticleDOI
Beyond Dyadic Interactions: Considering Chatbots as Community Members
TL;DR: It is argued that chatbots' social roles and conversational capabilities beyond dyadic interactions have been underexplored, and that expansion into this design space could support richer social interactions in online communities and help address the longstanding challenges of maintaining, moderating, and growing these communities.
Proceedings ArticleDOI
BigBlueBot: teaching strategies for successful human-agent interactions
TL;DR: This work designs a fun learning experience with several goals: explaining how chatbots work by mapping utterances to a set of intents, teaching strategies for avoiding conversational breakdowns, and increasing desire to use chatbots by creating feelings of empathy toward them.
References
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Journal ArticleDOI
ELIZA — a computer program for the study of natural language communication between man and machine
TL;DR: A discussion of some psychological issues relevant to the ELIZA approach as well as of future developments concludes the paper.
Book
The Semiotic Engineering of Human-Computer Interaction
De Souza,Clarisse Sieckenius +1 more
TL;DR: The Semiotic Engineering of Human-Computer Interaction (SIEI) as mentioned in this paper is an account of HCI that draws on concepts from semiotics and computer science to investigate the relationship between user and designer.
Proceedings ArticleDOI
PARADISE: A Framework for Evaluating Spoken Dialogue Agents
TL;DR: Paradise (PARAdigm for DIalogue System Evaluation) as discussed by the authors is a general framework for evaluating spoken dialogue agents, which decouples task requirements from an agent's dialogue behaviors, supports comparisons among dialogue strategies, enables the calculation of performance over subdialogues and whole dialogues, specifies the relative contribution of various factors to performance, and makes it possible to compare agents performing different tasks by normalizing for task complexity.
Posted Content
Evaluating Quality of Chatbots and Intelligent Conversational Agents.
TL;DR: A literature review of quality issues and attributes as they relate to the contemporary issue of chatbot development and implementation is presented, and a quality assessment method based on these attributes and the Analytic Hierarchy Process is proposed and examined.
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